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- Category: Development
- Founded: Mar 20, 2012
- Language: English
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Description
Intel® Concurrent Collections for C++ provides a mechanism which facilitates writing and tuning C++ programs which will execute in parallel:
Easy parallelism
- There is no need to think about lower level parallelization techniques like threading primitives or message passing; no need to understand pthreads, MPI, Windows threads, TBB, …
- There is no need to think about different types of parallelism such as task, pipeline, fork-join, task or data parallelism.
- Intel® Concurrent Collections for C++ provides a separation of concerns between what the application means and how to tune it for a specific platform. The application code can be paired with isolated tuning code. This allows programmers to focus on each separately.
Portability
- The same source runs on Windows and Linux.
- The same source runs on shared memory multi-core systems and clusters of workstations. In fact, Intel® Concurrent Collections for C++ is a unified model for shared and distributed memory systems (as opposed to the MPI / OpenMP combination, for example).
Scalability
- Intel® Concurrent Collections for C++ achieves scalable performance on a wide range of configurations from small multicore systems to large clusters.
- No need to re-write or re-compile application in order to target a new configuration.
Efficiency
- Because Intel® Concurrent Collections for C++ provides a way to express an algorithm with minimal scheduling constraints, it is very efficient.
- In addition, Intel® Concurrent Collections for C++ supports two types of tuning:
- Runtime tuning makes the runtime more efficient for a specific application.
- Application tuning makes the application itself more efficient with user-specified distribution of the work.
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FW: Call for Abstracts: CnC-2012
From: CnC 2012 [mailto:cncworkshop2012@...] Sent: Monday, August 20, 2012 3:57 PM To: CnC 2012 Subject: Call for Abstracts: CnC-2012
Posted - Mon Aug 27, 2012 11:09 am
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Schlimbach, Frank
frankschlimbach
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Posted - Fri Aug 17, 2012 8:26 am
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Schlimbach, Frank
frankschlimbach
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Using CnC on MPI
Hi, We discovered a few issues with using CnC on MPI. Most of them will be fixed with the upcoming release of Intel(R) MPI 4.1. If you encounter problems with
Posted - Mon Jun 11, 2012 9:35 am
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Schlimbach, Frank
frankschlimbach
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Posted - Wed Mar 21, 2012 4:08 pm
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Schlimbach, Frank
frankschlimbach
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The Idea
CnC's Big Idea With Intel(r) Concurrent Collections for C++ the programmer does not think about what should go in parallel; instead he/she specifies the
Posted - Wed Mar 21, 2012 4:05 pm
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Schlimbach, Frank
frankschlimbach
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